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Private credit—i.e., loans and debt financing from non-bank lenders—is a resilient asset class that's averaged a 12% return globally (and 14.5% on Percent [5]). It's been popular with institutional investors for a while, especially as it has outperformed both stocks and bonds in the last 3 market downturns.
Kobold Materials, a mining startup that uses AI to identify and extract metals, has raised a substantial new round of funding.
OpenAI has secured over $10 billion in liquidity, reaching a $157 billion valuation after its latest funding round. The company raised $6.6 billion from major investors, including Microsoft and Nvidia, but faces high operational costs, primarily due to the need for more GPUs to support LLM training. OpenAI is exploring restructuring options to optimize financial growth and sustainability in the AI ecosystem.
Black Forest Labs has launched a beta API providing its Flux image generation models, including the new Flux1.1 Pro, which offers faster generation and enhanced image quality. The startup, backed by Andreessen Horowitz, aims for market growth with ongoing developments despite controversy over its data usage and competition from major players like OpenAI and Google.
The Dynamic Diffusion Transformer (DyDiT) enhances the efficiency of diffusion models used in image generation. It improves upon the existing Diffusion Transformer (DiT) by dynamically adjusting computational efforts during different timesteps and spatial regions, reducing redundancy.
The Frame-Aware Video Diffusion Model (FVDM) improves video generation by addressing limitations in current models. Unlike traditional approaches that use a single timestep for the whole clip, the FVDM uses a vectorized timestep variable, allowing each frame to follow its own noise schedule.
This study reveals significant flaws in current membership inference attacks used to detect unauthorized data usage in diffusion models. CopyMark is a more realistic benchmark for evaluating MIAs on pre-trained models that offers unbiased datasets and fair evaluation methods.
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ImageFolder is a semantic tokenizer designed to address the trade-off between image reconstruction and generation quality in visual generative models.
Grounded-VideoLLM is a new Video-Large Language Model designed to improve fine-grained understanding of specific video moments. By adding a temporal stream and discrete temporal tokens, the model better captures relationships between frames and timestamps.
Chunking Causal Transformer (CCT) is a new autoregressive architecture designed for robotic manipulation tasks.
FacePoke is a tool for quickly editing faces in videos and images.
LLMs rely on tremendous amounts of unstructured data for training, but this data must be cleaned and processed before it's useful. Existing data processing systems based on CPUs and today's software architectures weren't designed to handle the scale or complexity of this data, making data cleaning and processing a slow and expensive process that limits AI development. DataPelago has launched a Universal Data Processing Engine built to overcome existing data processing performance, cost, and scalability limitations that make AI development faster and cheaper.
Google will show ads in its AI Overviews to counter alternatives like ChatGPT while enhancing user engagement. Despite generating controversies over misinformation, AI Overviews have boosted search engagement, especially in younger demographics. Google is also rolling out AI-organized search results in the U.S. to diversify content presentation without including ads.
OpenAI's rushed development and safety testing of its latest models, including GPT-4o and o1, have caused internal friction and senior staff departures.
This professor quit teaching due to the pervasive use of LLMs like ChatGPT among students.
A great 200 line example of parallelism from scratch from a large model training lead at Hugging Face.